repository-docs
Skill13 starsChanged 4 days agoMITView on GitHub
Write and sync README, AGENTS.md, and repo docs with verified behavior.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- fmind/dotfilesword for word, first seen Nov 8, 2026
- BryceYuuu/open-workflow-skillstheir own version, first seen Sep 5, 2026
Other versions2 projects use a version of this.
Word for word · 1
- fmind/dotfiles★ 13100% same
Edited · 0
None found.
Wrote their own version · 1
- BryceYuuu/open-workflow-skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository67 other files it gives its agents.
- AGENTS.mdAGENTS.md
- dot_agents/AGENTS.mdAGENTS.md
- skills/repository-docs/references/agents.mdAGENTS.md
- chezmoiSkill
- dot-developmentSkill
- dot-releaseSkill
- dot-skillsSkill
- dot-verifySkill
- acliSkill
- agent-evaluationSkill
- agent-frameworksSkill
- agent-harnessesSkill
- agent-projectSkill
- agent-protocolsSkill
- agySkill
- airflowSkill
- auth-statusSkill
- awsSkill
- bfSkill
- chrome-devtoolsSkill
- clipboardSkill
- cloud-runSkill
- code-securitySkill
- colabSkill
- databricksSkill
- diagrams-as-codeSkill
- dockerSkill
- documentation-siteSkill
- dot-cliSkill
- dprintSkill
- draft-docSkill
- draft-mailSkill
- duckdbSkill
- fmind-visualsSkill
- full-reviewSkill
- gcloudSkill
- ghSkill
- git-deliverySkill
- github-actionsSkill
- github-issuesSkill
- github-pull-requestSkill
- github-repositorySkill
- google-developerSkill
- gwsSkill
- hfSkill
- infra-as-codeSkill
- kaggleSkill
- kubernetesSkill
- lesson-learnedSkill
- mcp-setupSkill
- miseSkill
- model-providersSkill
- playwrightSkill
- project-scaffoldingSkill
- python-mlopsSkill
- python-stackSkill
- python-webSkill
- scheduled-jobsSkill
- skillifySkill
- <name>Skill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 15
Keep human and agent documentation aligned with the implementation, with one canonical owner for every claim.
- Distinctive: line 21
Choose the audience: use README guidance for project identity, proof of value, and the first successful use, adapting its starter for new …
- Distinctive: line 22
Update canonical owners: keep setup and usage in human docs, agent commands and invariants in AGENTS.md, and reusable procedures in skills.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Repository Documentation
Keep human and agent documentation aligned with the implementation, with one canonical owner for every claim.
Workflow
- Inventory: locate
README.md, root and nestedAGENTS.md,docs/, community files such as.github/SECURITY.md, generated help, and.agents/skills/*/SKILL.md; include any additional catalog declared by the repository. - Trace behavior: compare documentation with entry points, source, tests, manifests, mise tasks, hooks, CI, and current
--help; verify paths, options, versions, examples, and supported behavior. - Choose the audience: use README guidance for project identity, proof of value, and the first successful use, adapting its starter for new projects; add README assets for SVG logos, illustrations, and badges. Use AGENTS guidance for commands, constraints, invariants, and layout.
- Update canonical owners: keep setup and usage in human docs, agent commands and invariants in
AGENTS.md, and reusable procedures in skills; link instead of copying. - Verify: run the repository's documentation gate,
dot agent context --checkafter editingAGENTS.mdor skill metadata,lychee --include-fragments=full <files>for links, anchors, and#:~:text=fragments (a bare--include-fragmentschecks anchors only; add--include-verbatimwhen URLs in code carry claims, then dismiss placeholder hosts),dprint checkfor markup, and the site build where applicable; inspect rendered pages after layout changes. - Report: name what changed, the source evidence and checks, and any external workflow or claim that remains unverified.
Gotchas
- Edit generated documentation at its source: regenerate it; never hand-edit generated output or rewrite published history as cleanup.
- Report each status claim separately: setup, tests, hosted CI, deployment, and publication are separate claims.
- Documentation work authorizes relevant reversible edits: committing, publishing, or contacting others follows the current task authority.
- Preserve conventions; exclude secrets: preserve repository conventions, public anchors, and the author's voice; never include secrets or transient session state.
- Default to portable Markdown: where no convention exists, number every ordered item
1.so reordering never needs renumbering, tag code fences with a language, keep each paragraph on one line, use relative or~-relative paths in skills andAGENTS.md, and start comment-capable configs with their official docs URL below any schema directive.
Documentation
- GitHub README guidance · AGENTS.md · Agent Skills
- Companion skills: agent-project (host setup), skillify (reusable procedures), dprint (formatting), diagrams-as-code (SVG illustrations and Mermaid).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

